<div align="center">

<img src="docs/assets/landing-banner.svg" alt="Nuclear-grade Context Engineering: let AI do serious software work and stay in control of what ships. Go fast while exploring; slow down when the work becomes a promise." width="820">

<br/>

**A simple, evidence-first way to let AI do serious software work and stay in control of what ships.**

[](https://github.com/FlyFission/nuclear-grade-context-engineering/actions/workflows/ci.yml) [](LICENSE) [](pyproject.toml) [](#quick-start) [](CONTRIBUTING.md)

</div>

# Nuclear Grade Context Engineering

AI agents no longer just suggest code. They edit files, change prompts, call tools, swap dependencies, write the evidence, and help ship releases. That is a lot of power with very little ceremony. Nuclear-grade gives that work a clear path you stay in control of, so you can move fast and still stand behind what ships.

You do not need to read the whole repo to start. Run one command in [See it work, then make it yours](#see-it-work-then-make-it-yours), copy one folder, and add the rest only when a change earns it.

## Why this exists

I have spent over a decade in the nuclear field, and I run [FlyFission Consulting Group](https://flyfission.com/), an independent design-review and advisory practice for nuclear projects. I build software and agentic engineering workflows and tools for the nuclear and other mission-critical industries, where mistakes carry real consequences and "fail forward" is far less optional than it is in ordinary software. That same conviction drives [AscertAIn](https://ascertain.it/), an AI-powered e